An Open‐Source Pipeline for Calcium Imaging and All‐Optical Physiology in Human Stem Cell‐Derived Neurons

High-throughput, single-cell resolution profiling of neuronal activity is critical for understanding brain function and modeling neurological disorders, yet existing approaches are often limited by scalability and manual workflows. Here, we present an open-source, scalable imaging and analysis platform that integrates optogenetic stimulation, calcium imaging, automated acquisition, single-cell and network analyses. The platform enables robust quantification of spontaneous and evoked neuronal activity across hundreds of human stem cell-derived neurons over multiple timepoints, supporting functional phenotyping at both cellular and network levels. We demonstrate the versatility of the platform across multiple disease-relevant contexts, including models of CDKL5 Deficiency, SSADH Deficiency, and tuberous sclerosis complex (TSC). Additionally, we generate CRISPR-Cas9 knock-in hiPSC lines expressing GCaMP6s and demonstrate partial reversal through pharmacological intervention in TSC. By linking single-cell dynamics to network-level measures, this platform provides a generalizable framework for scalable functional phenotyping and high-throughput screening in human neuronal models.

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Publication Details

Journal
Advanced Science
Published
2026-03-09
DOI
https://doi.org/10.1002/advs.202515887
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

An Open‐Source Pipeline for Calcium Imaging and All‐Optical Physiology in Human Stem Cell‐Derived Neurons

Gayathri Srinivasan, Elizabeth D. Buttermore, Dosh Whye, Cidi Chen et al.
Advanced Science
Single-cell and spatial transcriptomics
article

An Open‐Source Pipeline for Calcium Imaging and All‐Optical Physiology in Human Stem Cell‐Derived Neurons

Gayathri Srinivasan, Elizabeth D. Buttermore, Dosh Whye, Cidi Chen, Lahin K. Lalani, Ranit Karmakar, Kellen D. Winden, Federico M. Gasparoli, Mustafa Şahin, Rachel Hobson, Ziqin Yang, Nicole A. Teaney, Wardiya Afshar‐Saber
article en

Abstract

High-throughput, single-cell resolution profiling of neuronal activity is critical for understanding brain function and modeling neurological disorders, yet existing approaches are often limited by scalability and manual workflows. Here, we present an open-source, scalable imaging and analysis platform that integrates optogenetic stimulation, calcium imaging, automated acquisition, single-cell and network analyses. The platform enables robust quantification of spontaneous and evoked neuronal activity across hundreds of human stem cell-derived neurons over multiple timepoints, supporting functional phenotyping at both cellular and network levels. We demonstrate the versatility of the platform across multiple disease-relevant contexts, including models of CDKL5 Deficiency, SSADH Deficiency, and tuberous sclerosis complex (TSC). Additionally, we generate CRISPR-Cas9 knock-in hiPSC lines expressing GCaMP6s and demonstrate partial reversal through pharmacological intervention in TSC. By linking single-cell dynamics to network-level measures, this platform provides a generalizable framework for scalable functional phenotyping and high-throughput screening in human neuronal models.

Advanced Science
Boston Children's Hospital (US), Harvard University (US), Center for Neurosciences (US), Boston Children's Museum (US), Center for Systems Biology (US)
Openalex Percentile: Top 28%
Single-cell and spatial transcriptomics
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